… Such would be the case in clinical gait classification, where it seems hardly realizable to
have all kinds of pathologies represented in the training data of a multiple-class …

… We investigated the gaits of standing, level walking, going up the … The gait recognition
accuracy of support vector machine (SVM), … kernel functions are used for the gait classification. …

… severity level, we present a gait classification based decision support system using multi-class
support vector machine (MCSVM). As the gait alterations are the initial manifestations of …

… We combine the label classification method with the self-advised support vector machine
(SA-SVM) to create … ; the trained classifier, the OpenSim prediction and simulation for gait level. …

… By investigating the classification accuracy of gait recognition, we can further confirm the …
propose an automated gait identification system on the foundation of support vector machine. In …

… supervised machine learning algorithms namely decision tree(DT), support vector machine
(… This paper has presented an automatic gait classification system to diagnose the severity of …

… Automated gait classification based on machine learning techniques bear the potential to
support … component analysis (PCA), z-standardization and a support vector machine (SVM). …

… parameters, support vector machine (SVM) was used to classify individuals as … Gait
stability is also a good predictor of whether the subject will fall again; thus, if the patient’s gait is …

… The objective of this study was to test the application of a support vector machine analysis
to classify multi-muscle EMG patterns of the lower extremities during gait between limbs with a …

… (B) Schematic overview of how a Support Vector Machine (SVM) selects the best hyperplane
for classification. First hyperplanes are calculated which are able to optimally separate data …